Cutting through the noise to motivate people: A comprehensive analysis of COVID-19 social media posts de/motivating vaccination-Reference-Cited by-同舟云学术

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Cutting through the noise to motivate people: A comprehensive analysis of COVID-19 social media posts de/motivating vaccination

Published:2024-09 Issue: Volume:8 Page:100085
ISSN:2949-7191
Container-title:Natural Language Processing Journal
language:en
Short-container-title:Natural Language Processing Journal

Author:

Rahman Ashiqur^ORCID,Mohammadi Ehsan,Alhoori Hamed

Publisher

Elsevier BV

Reference101 articles.

1. Politicizing the pandemic: A schemata analysis of COVID-19 news in two selected newspapers;Abbas;Int. J. Semiot. Law,2022

2. Identifying hidden patterns of fake COVID-19 news: An in-depth sentiment analysis and topic modeling approach;Ahammad;Nat. Lang. Process. J.,2024

3. Lies kill, facts save: Detecting COVID-19 misinformation in Twitter;Al-Rakhami;IEEE Access,2020

4. Top2Vec: Distributed representations of topics;Angelov,2020

5. The protection motivation theory for predict intention of COVID-19 vaccination in Iran: a structural equation modeling approach;Ansari-Moghaddam;BMC Public Health,2021

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